Data-Adaptive Causal Effects and Superefficiency
Recent approaches in causal inference have proposed estimating average causal effects that are local to some subpopulation, often for reasons of efficiency. These inferential targets are sometimes data-adaptive, in that they are dependent on the empirical distribution of the data. In this short note...
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| Format: | Article |
| Language: | English |
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De Gruyter
2016-09-01
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| Series: | Journal of Causal Inference |
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| Online Access: | https://doi.org/10.1515/jci-2016-0007 |